Risk Analytics Manager | Banking

You will drive credit risk analytics and end-to-end model development to strengthen risk decision-making across the organization. By delivering robust models, performing user acceptance testing (UAT), and partnering with key stakeholders, you will directly influence portfolio health, ensure regulatory compliance, and support controlled system implementations.

Responsibilities

• Deliver project-based credit risk analytics and end-to-end model development within established timelines and quality standards.
• Collaborate with business stakeholders to translate requirements into detailed analytical specifications and project deliverables.
• Prepare, analyze, and reconcile data from various sources to generate actionable portfolio insights and support model development.
• Build challenger and benchmark models to validate performance and enhance confidence in primary model outcomes.
• Execute comprehensive UAT routines, including test data generation, defect management, and key control check documentation.
• Maintain complete project documentation to support auditability, governance standards, and smooth operational handovers.

Requirement

• Proven project-based experience in credit risk analytics or model development within financial services.
• Strong proficiency in data analytics using SQL, Excel, and programming languages such as Python, R, or SAS.
• Solid understanding of core credit risk concepts including PD, LGD, EAD, ECL, and portfolio performance metrics.
• Hands-on experience leading and executing UAT for risk, data, or reporting system changes.
• Track record of engaging effectively with cross-functional teams including Credit Risk, Finance, and IT.
• Familiarity with regulatory risk modeling frameworks and Agile project management tools like Jira or Confluence.
• Immediately available will be a big advantage.